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Heidi Health is building AI-powered clinical tools that reduce administrative burden on healthcare providers. The company has achieved significant scale—supporting 2.5 million patient sessions weekly across 190+ countries—and is now expanding its commercial operations.
The Lifecycle team drives revenue growth through behaviorally triggered campaigns and strategic communications. This role owns the end-to-end execution of lifecycle programs: activation, trial-to-paid conversion, reactivation, and churn prevention. You'll be accountable for incremental ARR impact and will work cross-functionally with product, data, finance, and regional teams.
Key responsibilities include:
- Owning lifecycle programs from problem definition through post-launch optimization, with every initiative measured against a holdout group
- Building campaigns in Braze (canvases, triggered flows, segmentation, personalization)
- Designing rigorous experiments with clean cohorts and proper variant structures
- Maintaining measurement foundations using Amplitude and Omni dashboards
- Integrating campaigns with engineering via APIs, webhooks, and HTML templates
- Building AI agents and automations for QA, content, reporting, and campaign operations
- Localizing programs for priority non-English markets
- Managing time-critical operational communications
The role sits at the intersection of commercial judgment and technical execution. You'll use Braze for campaign building, Amplitude for measurement, and treat AI/LLMs as infrastructure to multiply your impact. A traditional marketing background is not required; candidates from engineering, growth, partnerships, or analytics backgrounds are encouraged to apply.
You should have 1–3 years of experience in strategy consulting, engineering, growth, partnerships, or analytics, with a quantitative background (economics, statistics, finance, commerce, computer science, or similar). SQL is preferred. The ideal candidate combines structured thinking under ambiguity, comfort with complex systems, hands-on AI experience, and a bias toward building over requesting.
